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    • Financial Engineering

    Financial Engineering Courses Online

    Master financial engineering for designing financial products and managing risk. Learn about derivatives, quantitative modeling, and financial markets.

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    Explore the Financial Engineering Course Catalog

    • Status: Free
      Free
      P

      Princeton University

      Computer Architecture

      Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Systems, Computer Engineering, Distributed Computing, Operating Systems, Performance Tuning, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Advanced · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI: Introduction and Applications

      Skills you'll gain: Generative AI, ChatGPT, OpenAI, Prompt Engineering, Large Language Modeling, Artificial Intelligence, Program Development, Content Creation, Image Analysis, Virtual Environment

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Virginia

      How Things Work: An Introduction to Physics

      Skills you'll gain: Mechanics, Torque (Physics), Physics, Energy and Utilities, Experimentation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning on Google Cloud

      Skills you'll gain: Feature Engineering, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Dataflow, Cloud Platforms, Data Management, Data Governance, Workflow Management, Application Deployment, Deep Learning, Applied Machine Learning, Machine Learning, Predictive Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Front-End Developer

      Skills you'll gain: GitHub, C# (Programming Language), Secure Coding, HTML and CSS, User Interface and User Experience (UI/UX) Design, Figma (Design Software), Open Web Application Security Project (OWASP), Git (Version Control System), Object Oriented Programming (OOP), Web Development, Web Design, Debugging, Mockups, Web Content Accessibility Guidelines, Microsoft Copilot, Adobe XD, Authentications, Front-End Web Development, Programming Principles, UI Components

      4.4
      Rating, 4.4 out of 5 stars
      ·
      94 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Everyday Excel

      Skills you'll gain: Data Import/Export, Microsoft Excel, Regression Analysis, Data Validation, Data Visualization, Depreciation, Data Management, Excel Macros, Excel Formulas, Statistical Modeling, Financial Analysis, Cash Flows, Predictive Modeling, Financial Modeling, Analysis, Microsoft Word, Business Mathematics, Mathematical Modeling, Complex Problem Solving, Financial Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Microeconomics Principles

      Skills you'll gain: Supply And Demand, Economics, Market Dynamics, Business Economics, Policy Analysis, Business, Behavioral Economics, Public Policies, Business Operations, Price Negotiation, Socioeconomics, Consumer Behaviour, Economics, Policy, and Social Studies, Business Strategy, Market Research, Competitive Analysis, Resource Allocation, Revenue Management, Decision Making, Market Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.2K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Introduction to Programming with Python and Java

      Skills you'll gain: Matplotlib, Object Oriented Design, Java, Object Oriented Programming (OOP), Data Analysis, Unit Testing, Pandas (Python Package), Eclipse (Software), Data Structures, Data Cleansing, Debugging, Pivot Tables And Charts, Data Visualization Software, Software Testing, Integrated Development Environments, Program Development, Programming Principles, Python Programming, Computer Programming, Computational Thinking

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      AI for Medicine

      Skills you'll gain: Deep Learning, Statistical Analysis, Clinical Trials, Feature Engineering, Risk Modeling, Treatment Planning, Data Analysis, Precision Medicine, Decision Tree Learning, Predictive Modeling, Patient Treatment, Image Analysis, Machine Learning Methods, Applied Machine Learning, AI Personalization, Machine Learning, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Medical Imaging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.4K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Introduction to Discrete Mathematics for Computer Science

      Skills you'll gain: Graph Theory, Logical Reasoning, Combinatorics, Computational Logic, Deductive Reasoning, Cryptography, Probability, Key Management, Computational Thinking, Encryption, Network Analysis, Public Key Cryptography Standards (PKCS), Algorithms, Theoretical Computer Science, Python Programming, Data Structures, Cybersecurity, Arithmetic, Computer Programming, Mathematical Modeling

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      Duke University

      Healthcare Leadership for Climate Change

      Skills you'll gain: Health Disparities, Health Equity, Design Thinking, Environmental Issue, Ethical Standards And Conduct, Initiative and Leadership, Advocacy, Community Organizing, Leadership, Personal Development, Environmental Science, Environment and Resource Management, Community Health, Visionary, Health Care, Innovation, Environment, Physical Science, Energy and Utilities, International Relations

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Excel Skills for Business: Intermediate II

      Skills you'll gain: Excel Formulas, Microsoft Excel, Excel Macros, Data Validation, Spreadsheet Software, Data Analysis Expressions (DAX), Data Modeling, Financial Forecasting, Predictive Modeling, Financial Modeling, Workflow Management, Data Integrity, Business Modeling, Automation, Process Optimization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8.3K reviews

      Intermediate · Course · 1 - 3 Months

    Financial Engineering learners also search

    Financial Management
    Financial Analysis
    Financial Modeling
    Financial Accounting
    Financial Trading
    Finance
    Financial Planning
    Business Finance
    1…313233…386

    In summary, here are 10 of our most popular financial engineering courses

    • Computer Architecture: Princeton University
    • Generative AI: Introduction and Applications: IBM
    • How Things Work: An Introduction to Physics: University of Virginia
    • Machine Learning on Google Cloud: Google Cloud
    • Microsoft Front-End Developer: Microsoft
    • Everyday Excel: University of Colorado Boulder
    • Microeconomics Principles: University of Illinois Urbana-Champaign
    • Introduction to Programming with Python and Java: University of Pennsylvania
    • AI for Medicine: DeepLearning.AI
    • Introduction to Discrete Mathematics for Computer Science: University of California San Diego

    Skills you can learn in Finance

    Investment (23)
    Market (economics) (20)
    Stock (18)
    Financial Statement (14)
    Financial Accounting (13)
    Modeling (13)
    Corporate Finance (11)
    Financial Analysis (11)
    Trading (11)
    Evaluation (10)
    Financial Markets (10)
    Pricing (10)

    Frequently Asked Questions about Financial Engineering

    Financial engineering is an interdisciplinary field that combines applied mathematics, statistics, and computer science to guide investment decisions. While finance has always emphasized quantitative analysis, today’s technology has made it possible to apply these approaches at an unprecedented scale and speed. Massive datasets are now delivered via hardwired internet connections into financial modeling programs built in software like Solver in Microsoft Excel, or even machine learning tools created through Python programming or other techniques.

    The power of financial engineering has made it incredibly important for trading, portfolio optimization and risk management, valuation of derivatives and real options, and a host of other purposes at virtually all of today’s largest financial institutions. Indeed, it has been estimated that as much as 80% of the activity on the U.S. stock market today is computer-led algorithmic trading, making the use of financial engineering absolutely essential to competitiveness in the market.

    By automating financial decision-making, these approaches have unquestionably created enormous value for the firms deploying them. However, the prominence of financial engineering has caused some economists to question whether it is contributing to market volatility during financial turbulence, including the COVID-19 crisis, even if many others claim that it has a positive effect on market liquidity. Regardless, financial engineering is here to stay, making it a critical topic to understand for any finance professional.‎

    Today, any career in finance requires at least a familiarity with financial engineering. Whether you go to work at an investment bank, a hedge fund, an insurance company, or in government treasuries or regulatory agencies, these techniques will continue to shape the landscape of your job. Thus, understanding how to use financial engineering approaches and how they impact financial problems is a valuable asset regardless of your role in this industry.

    If you have a particular talent for applied mathematics and computer science, you can pursue a lucrative career in financial engineering yourself, as quantitative analysts or “quants” are some of the most highly sought after professionals in the industry. “Back office” quants generally build and validate complex financial engineering tools, while “front office” quants work directly with traders to help them deploy the pricing and trading tools they need.‎

    Absolutely. Coursera offers a wide range of courses in financial engineering as well as related areas of this interdisciplinary field, including business, computer science, and mathematics and statistics. These courses as well as multi-course Specializations are offered by some of the top undergraduate and business schools in the country, including Columbia University, Yale University, and the University of Pennsylvania.

    In addition to being able to learn remotely on your own schedule, these courses are also available at a significantly lower tuition than their on-campus counterparts. Thus, you won’t need a spreadsheet to determine that learning about financial engineering online is a smart investment in your future, whether you’re just starting your career or are an experienced finance professional looking to update your understanding of this vital topic.‎

    The skills and experience that you might need to already have before starting to learn financial engineering include a healthy knowledge of mathematics, statistics, economics, and computer science. These aspects come together in financial engineering, which uses financial theory to solve financial problems and to create new financial products. As you begin to learn about financial engineering, you’ll see that a background or knowledge in data science and data management is also very important for the work involved in areas like statistics, indices, quadratic equations, functions, and graphs. Knowing how to use your mathematics and statistics knowledge in building financial models could also be a benefit to learning financial engineering.‎

    The kind of people that are best suited for work that involves financial engineering are those who are data geeks, quantitative analysts, and other numbers-focused practitioners. These people may have already gained experience and skills from working in corporate finance, risk management, stock trading, and financial regulation. Being comfortable with spreadsheets, financial theories, computer programming, and financial models is likely a key requisite for work that involves financial engineering. Aside from these hard skills that are required, the kind of persons best suited for financial engineering work might also be analytically-minded, with a keen attention to details, and the ability to extract and communicate complex statistical information into common-sense problem solving.‎

    You might know if learning financial engineering is right for you if you have interest and knowledge of financial theories and financial methods. Having a quantitative analysis background and numbers-focused skills may help you find a career in financial engineering. If you’re the person who reads financial statements and digs into computer-based financial models to figure out financial strategies, then becoming involved with work in financial engineering may be a great fit for you. Combining all your knowledge of data and statistics in this area may help you to achieve future success in financial engineering jobs.‎

    Online Financial Engineering courses offer a convenient and flexible way to enhance your knowledge or learn new Financial Engineering skills. Choose from a wide range of Financial Engineering courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Financial Engineering, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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